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~person:"Imhof, David"
~person:"Kumar, Vikas"
~subject:"Digitization"
~subject:"Machine learning"
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Search: subject:"künstliche Intelligenz"
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Digitization
Machine learning
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Künstliche Intelligenz
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7
Bid rigging detection
4
Theorie
4
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3
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ensemble methods
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machine learning
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screening methods
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Imhof, David
Kumar, Vikas
Parida, Vinit
8
Fossen, Frank M.
7
Sorgner, Alina
7
Boute, Robert N.
6
Arias-Pérez, José
5
Dwivedi, Yogesh Kumar
5
Lodi, Andrea
5
Sjödin, Rönnberg David
5
Ballestar, María Teresa
4
Carayannis, Elias G.
4
Deckert, Ronald
4
Gkonkas, Periklēs
4
Kersten, Wolfgang
4
Liermann, Volker
4
Maliar, Serguei
4
Papadimitriou, Theophilos
4
Prüfer, Patricia
4
Sainz, Jorge
4
Stegmann, Claus
4
Wincent, Joakim
4
Zhou, Li
4
Aufderheide, Detlef
3
Bertsimas, Dimitris
3
Brintrup, Alexandra
3
Bünte, Claudia
3
Campbell, David F. J.
3
Campisi, Giovanni
3
Carmona, Pedro
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Chen, Wei
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Chen, Yi-Ting
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Creamer Guillén, Germán
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D'Ignazio, Alessio
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De Baets, Bernard
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De Blasio, Guido
3
De Lombaerde, Philippe
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Efthymiou, Leonidas
3
Egger, Roman
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3
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Journal of business research : JBR
2
Computational economics
1
Computers & operations research : and their applications to problems of world concern ; an international journal
1
International journal of industrial organization
1
International review of law and economics
1
Journal of global scholars of marketing science : bridging Asia and the world ; JGSMS
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Technological forecasting & social change : an international journal
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ECONIS (ZBW)
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1
A machine learning approach for flagging incomplete bid-rigging cartels
Wallimann, Hannes
;
Imhof, David
;
Huber, Martin
- In:
Computational economics
62
(
2023
)
4
,
pp. 1669-1720
Persistent link: https://www.econbiz.de/10014437552
Saved in:
2
Digging DEEP : futuristic building blocks of omni-channel healthcare supply chains resiliency using machine learning approach
Kumar, Anil
;
Naz, Farheen
;
Luthra, Sunil
;
Vashistha, Rajat
- In:
Journal of business research : JBR
162
(
2023
),
pp. 1-14
Persistent link: https://www.econbiz.de/10014302550
Saved in:
3
It takes two to tango : statistical modeling and machine learning
Kumar, Vikas
;
Vannan, Mani
- In:
Journal of global scholars of marketing science : …
31
(
2021
)
3
,
pp. 296-317
Persistent link: https://www.econbiz.de/10012549084
Saved in:
4
Detecting bid-rigging coalitions in different countries and auction formats
Imhof, David
;
Wallimann, Hannes
- In:
International review of law and economics
68
(
2021
),
pp. 1-12
Persistent link: https://www.econbiz.de/10013282578
Saved in:
5
A machine learning based approach for predicting blockchain adoption in supply Chain
Kamble, Sachin S.
;
Gunasekaran, Angappa
;
Kumar, Vikas
; …
- In:
Technological forecasting & social change : an …
163
(
2021
),
pp. 1-18
Persistent link: https://www.econbiz.de/10012665928
Saved in:
6
Influence of new-age technologies on marketing : a research agenda
Kumar, Vikas
;
Ramachandran, Divya
;
Kumar, Binay
- In:
Journal of business research : JBR
125
(
2021
),
pp. 864-877
Persistent link: https://www.econbiz.de/10012494189
Saved in:
7
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
Sharma, Rohit
;
Kamble, Sachin S.
;
Gunasekaran, Angappa
; …
- In:
Computers & operations research : and their …
119
(
2020
),
pp. 1-17
Persistent link: https://www.econbiz.de/10012236821
Saved in:
8
Machine learning with screens for detecting bid-rigging cartels
Huber, Martin
;
Imhof, David
- In:
International journal of industrial organization
65
(
2019
),
pp. 277-301
Persistent link: https://www.econbiz.de/10012321207
Saved in:
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